A Large-Scale Network Data Analysis via Sparse and Low Rank Reconstruction by Liang Fu Lu, Zheng-Hai Huang, Mohammed A. Ambusaidi, Kui-Xiang Gou

“…Different from the state-of-the-art studies, we first propose a new decomposition model based on accelerated proximal gradient method for packet-level traffic data. …”
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On the Shoulders of Giants: Incremental Influence Maximization in Evolving Social Networks by Xiaodong Liu, Xiangke Liao, Shanshan Li, Si Zheng, Bin Lin, Jingying Zhang, Lisong Shao, Chenlin Huang, Liquan Xiao

“…Experimental results demonstrate that, compared with the state-of-the-art static algorithm, IncInf achieves remarkable speedup in execution time while maintaining matching performance in terms of influence spread.…”
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The Past Didn’t Go Anywhere: Making Music/Making History in Contemporary American Folk by Sophie Levy

“…Bien que la musique populaire se préoccupe, bien souvent, de façon quasi-exclusive du présent, la popularité de la musique folk ne se dément pas, comme le montre le regain d’intérêt pour la musique bluegrass qu’a déclenché le film O Brother, Where Art Thou?. En effet, histoire, historiographie et présent immédiat se mêlent dans la musique folk américaine, où s’enchevêtrent des formes enracinées dans l’Histoire et des événements de l’histoire immédiate. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…The developed model attained the highest accuracy of 97.5% which is better compared to other state of art algorithms. Finally, the model is integrated into a mobile app for robust classification of anti-diabetic therapeutic medicinal plant with real field images.…”
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MonoSeg: An Infrared UAV Perspective Vehicle Instance Segmentation Model with Strong Adaptability and Integrity by Peng Huang, Yan Yin, Kaifeng Hu, Weidong Yang

“…Extensive experimental evaluation on bench-mark datasets demonstrates that MonoSeg achieves state-of-the-art performance across standard metrics, including Box mAP and Mask mAP, while maintaining substantially lower computational requirements compared to existing methods.…”
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Gradient Enhancement Techniques and Motion Consistency Constraints for Moving Object Segmentation in 3D LiDAR Point Clouds by Fangzhou Tang, Bocheng Zhu, Junren Sun

“…Our method is validated on the SemanticKITTI-based LiDAR MOS benchmark, where it significantly outperforms current state-of-the-art (SOTA) methods, all while working directly on two-dimensional (2D) range images without requiring mapping.…”
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Analysis of the subject field of the phenomenon of communicative culture in dissertation research on pedagogical science by Valentina G. Ryndak, Yuliya A. Bazhenova

“…It is revealed that the performances of modern domestic scientists understanding of the studied phenomena is ambiguous and depends on the specific problems of the study, in 53.1% of studies, the phenomenon of communicative culture is understood as an integral (or integrative) personal quality; 9.5% - as a component of professional activity, giving the opportunity to represent the studied phenomenon by transferring characteristics of professional activity; in 16.6 per cent as the quality of the individual, reflecting the motives and needs of communication and interaction with other people; in 20.2% - as the ability to establish a variety of social contacts, depending on the mastery of science and the art of communication, patterns and values of behavior. …”
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The interface of depression and diabetes: treatment considerations by Giuseppe Fanelli, Emanuel Raschi, Gaye Hafez, Silke Matura, Carmen Schiweck, Elisabetta Poluzzi, Carlotta Lunghi

“…Abstract This state-of-the-art review explores the relationship between depression and diabetes, highlighting the two-way influences that make treatment challenging and worsen the outcomes of both conditions. …”
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A machine learning based classifier for topological quantum materials by Ashiqur Rasul, Md Shafayat Hossain, Ankan Ghosh Dastider, Himaddri Roy, M. Zahid Hasan, Quazi D. M. Khosru

“…In this work, an effective and robust deep learning-based model is proposed by incorporating persistent homology with graph neural network which offers an accuracy of $$91.4\%$$ 91.4 % and an F1 score of $$88.5\%$$ 88.5 % in classifying topological versus non-topological materials, outperforming the other state-of-the-art classifier models. Additionally, out-of-distribution and newly discovered topological materials can be classified using our method with high confidence. …”
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Imported figured textiles from the Belorechensky burial ground in the collection of the State Hermitage Museum by Teplyakova A.N.

“….), textiles from collections of other institutions (Metropolitan Museum, Victoria and Albert Museum, Cleveland Museum of Art, etc.). Results and scientific novelty of the study: Of the 87 examples of textiles, embroidery, needlework, and threads, 22 examples are related to silk figured textiles. …”
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Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets. by William Dee, Rana Alaaeldin Ibrahim, Eirini Marouli

“…Utilizing a StyleGAN2 approach, the generative network produced images with an Fréchet Inception Distance (FID) score of 5.05, matching state-of-the-art GAN results in non-medical domains with comparable dataset sizes. …”
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Los sentidos corporales, necesidad de actualizar su enfoque jurídico en Derecho Penal by Ricardo Germán Rincón, Eduardo Daniel Vázquez

“…Se siguió el método de revisión bibliográfica monográfica del estado del arte en un determinado momento. Los resultados muestran la distancia conceptual entre las categorizaciones lesionales vigentes, no sólo en el códice penal propio, sino en otras codificaciones y corrientes doctrinarias, sin considerar los avances en investigación de los sentidos corporales, no solo en el derecho continental, sino también en el common law. …”
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Linear Multivariate Decision Trees for Fast QTMT Partitioning in VVC by Jose N. Filipe, Luis M. N. Tavora, Sergio M. M. Faria, Antonio Navarro, Pedro A. A. Assuncao

“…The experimental results show a Complexity Gain of approximately 16% with a negligible BD-Rate loss of only 0.06%, surpassing current state-of-the-art methods in terms of complexity gain per percentage point of BD-Rate loss.…”
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STICI: Split-Transformer with integrated convolutions for genotype imputation by Mohammad Erfan Mowlaei, Chong Li, Oveis Jamialahmadi, Raquel Dias, Junjie Chen, Benyamin Jamialahmadi, Timothy Richard Rebbeck, Vincenzo Carnevale, Sudhir Kumar, Xinghua Shi

“…Our imputation results on the human 1000 Genomes Project and non-human genomes show that STICI can achieve high imputation accuracy comparable to the state-of-the-art genotype imputation methods, with the additional capability to impute multi-allelic variants and various types of genetic variants. …”
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Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction by Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Muhammad Shahzad Sarfraz, Yang Yu, Hafiz Tayyab Rauf

“…This has resulted in state-of-the-art traffic forecasting for the SZ-taxi and Los-loop datasets.…”
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O performer, a presença cênica e o estado de fruição by Natália Koehler Karam, Sayonara Sousa Pereira

“…Este ensaio investiga a presença cênica, explorando a interação entre corpo-mente, ação-autoconsciência, performer-figura cênica e vivacidade-estrutura cênica com base na pesquisa do performer/guerreiro, prática de treino para o performer inspirada em artes marciais. A autora vivenciou essa prática no Instituto Grotowski, na Polônia, por 14 meses, e a continua na Cia de Teatro Físico Pássaro de Presságio, em São Paulo. …”
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Charles Sanders Peirce's semiotic analysis of human values in the film sound of freedom by Frans Fandy Palinoan, I Made Markus Suma, Patrio Tandiangga, Arwin Dama

“…This research is based on the understanding that film is not only a work of art that aims to entertain but can also be a communication medium that indirectly conveys human values. …”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

“…In comparison to the state-of-the-art model, the suggested model performs better in every respect. …”
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A review of university chatbots for student support: FAQs and beyond by Kevin Peyton, Saritha Unnikrishnan, Brian Mulligan

“…It initially describes chatbot examples related to student administration activities and teaching and learning, before describing in detail the recent evolution of Natural Language Processing and the more immediate arrival of state-of-the-art generative techniques. The use of chatbot development platforms is also considered and eight university chatbot implementations are compared and considered in detail. …”
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Stock Price Change Rate Prediction by Utilizing Social Network Activities by Shangkun Deng, Takashi Mitsubuchi, Akito Sakurai

“…Experimental results show that our proposed model performed better than other models including ones using state of the art techniques.…”
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